Task
Feature Extraction
B
BAAI/bge-base-en-v1.5
Feature Extraction·BAAI· 8.6M· 441
sentence-transformers
mit
109.5M params
arxiv:2401.03462arxiv:2312.15503
feature extraction · sentence-transformers model
# pull & run locally
pip install mlforge-sdk && mlforge pull BAAI/bge-base-en-v1.5
pip install mlforge-sdk && mlforge pull BAAI/bge-base-en-v1.5
Model details
Provider
BAAI
Framework
sentence-transformers
Parameters
109.5M
License
mit
Downloads
8.6M
Likes
441
Paper
arXiv:2401.03462
Updated
2024-02-21
About BAAI/bge-base-en-v1.5
--- tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers - mteb model-index: - name: bge-base-en-v1.5 results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 76.14925373134328 - type: ap value: 39.32336517995478 - type: f1 value: 70.16902252611425 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 93.386825 - type: ap value: 90.21276917991995 - type: f1 value: 93.37741030006174 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 48.846000000000004 - type: f1 value: 48.14646269778261 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 40.754000000000005 - type: mapat10 value: 55.761 - type: mapat100 value: 56.330999999999996 - type: mapat1000 value: 5